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Machine learning models for predicting postoperative acute kidney injury in pediatric cardiac surgery: a systematic review and meta-analysis.

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Title: Machine learning models for predicting postoperative acute kidney injury in pediatric cardiac surgery: a systematic review and meta-analysis.
Authors: Sihombing NMI; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Raz HF; Division of Thoracic, Cardiac, and Vascular Surgery, Department of Surgery, Faculty of Medicine, Universitas Sumatera Utara, Haji Adam Malik General Hospital, Medan, Indonesia., Siahaan SRU; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Sihombing SYR; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Rifa'i AD; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia., Duha MH; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Source: Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2026 Jun 18; Vol. 13, pp. 1808152. Date of Electronic Publication: 2026 Jun 18 (Print Publication: 2026).
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101653388 Publication Model: eCollection Cited Medium: Print ISSN: 2297-055X (Print) Linking ISSN: 2297055X NLM ISO Abbreviation: Front Cardiovasc Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Sihombing+NMI%22">Sihombing NMI</searchLink>; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.<br /><searchLink fieldCode="AU" term="%22Raz+HF%22">Raz HF</searchLink>; Division of Thoracic, Cardiac, and Vascular Surgery, Department of Surgery, Faculty of Medicine, Universitas Sumatera Utara, Haji Adam Malik General Hospital, Medan, Indonesia.<br /><searchLink fieldCode="AU" term="%22Siahaan+SRU%22">Siahaan SRU</searchLink>; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.<br /><searchLink fieldCode="AU" term="%22Sihombing+SYR%22">Sihombing SYR</searchLink>; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.<br /><searchLink fieldCode="AU" term="%22Rifa'i+AD%22">Rifa'i AD</searchLink>; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.<br /><searchLink fieldCode="AU" term="%22Duha+MH%22">Duha MH</searchLink>; Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
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  Data: <searchLink fieldCode="JN" term="%22101653388%22">Frontiers in cardiovascular medicine</searchLink> [Front Cardiovasc Med] 2026 Jun 18; Vol. 13, pp. 1808152. <i>Date of Electronic Publication: </i>2026 Jun 18 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101653388 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2297-055X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222297055X%22">2297055X </searchLink><i>NLM ISO Abbreviation: </i>Front Cardiovasc Med <i>Subsets: </i>PubMed not MEDLINE
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